Course Outline

Probability (3.5 hours)

  • Definition of Probability
  • Binomial Distribution
  • Practical Exercises for Everyday Use Cases

Statistics (10.5 hours)

  • Descriptive Statistics
  • Inferential Statistics
  • Regression Analysis
  • Logistic Regression
  • Statistical Exercises

Introduction to Programming (3.5 hours)

  • Procedural Programming Techniques
  • Functional Programming Concepts
  • Object-Oriented Programming (OOP) Principles
  • Programming Exercises (e.g., writing logic for a game such as Tic-Tac-Toe)

Machine Learning (10.5 hours)

  • Classification Algorithms
  • Clustering Methods
  • Neural Network Architectures
  • Machine Learning Exercises (e.g., developing AI for a computer game of choice)

Rules Engines and Expert Systems (7 hours)

  • Introduction to Rule Engines
  • Developing AI Using Rule Engines for a Game
  • Integrating Solutions into a Hybrid Approach

Requirements

  • No prerequisites are required. Concepts such as probability and statistics will be thoroughly explained throughout the course. If you already have a background in probability and statistics, we recommend our advanced course code aiint.

Audience

  • This course is designed for beginners who are interested in learning about Artificial Intelligence, Machine Learning, and programming for government applications.
 35 Hours

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